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Datentransparenzverordnung (DaTraV)
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Sample details

DaTraV collects the health data of approximately 70 million participants from Germany, all insured within the statutory health insurance system. Participants are automatically included in the study based on their insurance status. The cohort comprises adults aged 30 years and older, representing the German population covered by statutory health insurance. The study maintains a consistent participant base of around 70 million individuals. The cohort is followed up continuously, with data being updated in real-time as part of routine health insurance claims processing, ensuring the most current and relevant information.

Study design
Registry

Number of participants at first data collection

~70,000,000 (participants)

Recruitment is ongoing

Age at first data collection

≥ 30 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
The German population covered by statutory health insurance.

Sample features

Adults
Population-based sample
Dataset details

Country

Germany

Year of first data collection

2013

Primary Institutions

Federal Institute for Drugs and Medical Devices (Bundesinstitut für Arzneimittel und Medizinprodukte, BfArM)

Robert Koch Institute (Robert Koch Institut, RKI)

Links

healthdatalab.de/diabetes-mortality

Profile paper DOI
Not available

Funders

Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF) now known as Federal Ministry of Research, Technology and Space (Bundesministerium für Forschung, Technologie und Raumfahrt, BMFTR)

Federal Ministry of Health (BMG)

Ongoing?
Yes

Data types collected

mentalHealthData
dataLinkage
Quantitative data collection
  • Secondary data
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Healthcare data
  • Mortality data
Features

Engagement

  • None
  • Keywords

    Administrative data
    Demographics
    Health insurance
    Healthcare access and use
    Morbidity and mortality
    Routine data
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